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Constrained Bayesian Optimization with Noisy Experiments
6 references·16 citing·37 second hop
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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2012Entropy search for information-efficient global optimization456 cited
  • 2011Convergence rates of efficient global optimization algorithms454 cited
  • 2014Bayesian Optimization with Unknown Constraints376 cited
  • 2014Predictive Entropy Search for Efficient Global Optimization of Black-box Functions369 cited
  • 2014Bayesian Optimization with Inequality Constraints347 cited

Cited by

  • 2022A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization183 cited
  • 2021Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020158 cited
  • 2019Top Challenges from the first Practical Online Controlled Experiments Summit140 cited
  • 2022Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences91 cited
  • 2020Exploring Bayesian Optimization67 cited
  • 2021High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces62 cited
  • 2021Bayesian Optimization for Radio Resource Management: Open Loop Power Control58 cited
  • 2022Multi‐information source Bayesian optimization of culture media for cellular agriculture

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58 cited
  • 2021Experimenting in Equilibrium56 cited
  • 2022Beyond Playing 20 Questions with Nature: Integrative Experiment Design in the Social and Behavioral Sciences55 cited
  • 2019Sequential model based optimization of partially defined functions under unknown constraints52 cited
  • 2021Empirica: a virtual lab for high-throughput macro-level experiments51 cited
  • 2025Bayesian Optimization in Bioprocess Engineering—Where Do We Stand Today?51 cited
  • 2020Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization44 cited
  • 2024Constrained Bayesian Optimization: A Review42 cited
  • 2021Empirica: a virtual lab for high-throughput macro-level experiments39 cited